Ting Shu

817 total citations
26 papers, 496 citations indexed

About

Ting Shu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ting Shu has authored 26 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 6 papers in Molecular Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ting Shu's work include Pulmonary Hypertension Research and Treatments (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Magnetic and transport properties of perovskites and related materials (2 papers). Ting Shu is often cited by papers focused on Pulmonary Hypertension Research and Treatments (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Magnetic and transport properties of perovskites and related materials (2 papers). Ting Shu collaborates with scholars based in China, United States and Sweden. Ting Shu's co-authors include Jing Wang, Junling Pang, Meiyue Song, Xianmei Qi, Ning Jiang, Li Yao, Ya Luo, Ying Liu, Jing Wang and Chen Wang and has published in prestigious journals such as Circulation, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ting Shu

24 papers receiving 492 citations

Peers

Ting Shu
Comparison fields: 5 of 104
  • Pulmonary and Respiratory Medicine 197
  • Molecular Biology 148
  • Physiology 70
  • Immunology 64
  • Epidemiology 55
Replace Bin Xie with:
Bin Xie China
Alessandra Bonotti Italy
Wenwen Lu China
Enikő Balogh Hungary
Marina Schena Italy
Sijia Li China
Jinglan Zhang China
Huajing Yang China
Katharina Krenn Austria
Bin Xie China View profile →
Citations per field, relative to Ting Shu
Ting Shu · 1×
Citations per year, relative to Ting Shu
Ting Shu · 1×

Countries citing papers authored by Ting Shu

Since Specialization
Citations

This map shows the geographic impact of Ting Shu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ting Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Shu more than expected).

Fields of papers citing papers by Ting Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Shu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ting Shu. The network helps show where Ting Shu may publish in the future.

Co-authorship network of co-authors of Ting Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Shu. A scholar is included among the top collaborators of Ting Shu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Shu. Ting Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 3
5 9
6 9
7 5
8 17
9 14
10 4
11 11
12 15
13 21
14 43
15 63
16 12
17 2
18 78
19 2
20 32

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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